1 citations · 2 across the 3 of their papers we have counts for
3 papers
math.ST2021
Non-Asymptotic Bounds for the Estimator in Linear Regression with Uniform Noise
Yufei Yi, Matey Neykov
The Chebyshev or estimator is an unconventional alternative to the ordinary least squares in solving linear regressions. It is defined as the minimizer of the $\ell…
stat.ME2021★ 1 cited
A New Perspective on Debiasing Linear Regressions
Yufei Yi, Matey Neykov
In this paper, we propose an abstract procedure for debiasing constrained or regularized potentially high-dimensional linear models. It is elementary to show that the proposed proc…
math.ST2020★ 1 cited
Non-Sparse PCA in High Dimensions via Cone Projected Power Iteration
Yufei Yi, Matey Neykov
In this paper, we propose a cone projected power iteration algorithm to recover the first principal eigenvector from a noisy positive semidefinite matrix. When the true principal e…